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Model: lordjia/Llama-3-Cantonese-8B-Instruct
Source: Original Platform

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LICENSE

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README.md

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+---
+language:
+- en
+- zh
+license: llama3
+tags:
+- Cantonese
+- chat
+- Llama3
+datasets:
+- jed351/cantonese-wikipedia
+- lordjia/Cantonese_English_Translation
+pipeline_tag: text-generation
+model-index:
+- name: Llama-3-Cantonese-8B-Instruct
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 66.69
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Llama-3-Cantonese-8B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 26.79
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Llama-3-Cantonese-8B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 8.23
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Llama-3-Cantonese-8B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 5.82
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Llama-3-Cantonese-8B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 9.48
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Llama-3-Cantonese-8B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 27.94
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lordjia/Llama-3-Cantonese-8B-Instruct
+      name: Open LLM Leaderboard
+---
+
+# Llama-3-Cantonese-8B-Instruct
+
+## Model Overview / 模型概述
+
+Llama-3-Cantonese-8B-Instruct is a Cantonese language model based on Meta-Llama-3-8B-Instruct, fine-tuned using LoRA. It aims to enhance Cantonese text generation and comprehension capabilities, supporting various tasks such as dialogue generation, text summarization, and question-answering.
+
+Llama-3-Cantonese-8B-Instruct係基於Meta-Llama-3-8B-Struct嘅粵語語言模型，使用LoRA進行微調。 它旨在提高粵語文本的生成和理解能力，支持各種任務，如對話生成、文本摘要和問答。
+
+## Model Features / 模型特性
+
+- **Base Model**: Meta-Llama-3-8B-Instruct
+- **Fine-tuning Method**: LoRA instruction tuning
+- **Training Steps**: 4562 steps
+- **Primary Language**: Cantonese / 粵語
+- **Datasets**:
+  - [jed351/cantonese-wikipedia](https://huggingface.co/datasets/jed351/cantonese-wikipedia)
+  - [lordjia/Cantonese_English_Translation](https://huggingface.co/datasets/lordjia/Cantonese_English_Translation)
+- **Training Tools**: [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory)
+
+## Quantized Version / 量化版本
+
+A 4-bit quantized version of this model is also available: [llama3-cantonese-8b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct/blob/main/llama3-cantonese-8b-instruct-q4_0.gguf).
+
+此模型的4位量化版本也可用：[llama3-cantonese-8b-instruct-q4_0.gguf](https://huggingface.co/lordjia/Llama-3-Cantonese-8B-Instruct/blob/main/llama3-cantonese-8b-instruct-q4_0.gguf)。
+
+## Alternative Model Recommendations / 備選模型舉薦
+
+For alternatives, consider the following models, both fine-tuned by LordJia on Cantonese language tasks:
+
+揾其他嘅話，可以諗下呢啲模型，全部都係LordJia用廣東話嘅工作調教好嘅：
+
+1. [Qwen2-Cantonese-7B-Instruct](https://huggingface.co/lordjia/Qwen2-Cantonese-7B-Instruct) based on Qwen2-7B-Instruct.
+2. [Llama-3.1-Cantonese-8B-Instruct](https://huggingface.co/lordjia/Llama-3.1-Cantonese-8B-Instruct) based on Meta-Llama-3.1-8B-Instruct.
+
+## License / 許可證
+
+This model is licensed under the Llama 3 Community License. Please review the terms before use.
+
+此模型根據Llama 3社區許可證獲得許可。 請在使用前仔細閱讀呢啲條款。
+
+## Contributors / 貢獻
+
+- LordJia [https://ai.chao.cool](https://ai.chao.cool/)
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_lordjia__Llama-3-Cantonese-8B-Instruct)
+
+|      Metric       |Value|
+|-------------------|----:|
+|Avg.               |24.16|
+|IFEval (0-Shot)    |66.69|
+|BBH (3-Shot)       |26.79|
+|MATH Lvl 5 (4-Shot)| 8.23|
+|GPQA (0-shot)      | 5.82|
+|MuSR (0-shot)      | 9.48|
+|MMLU-PRO (5-shot)  |27.94|
+

config.json

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+{
+  "_name_or_path": "/home/xibei/cantonese/saves/Llama-3-8B-Instruct/merged/Llama3-Cantonese-7B-Instruct-0715",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "use_cache": true,
+  "vocab_size": 128256
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128009
+  ],
+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.42.3"
+}

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+}

special_tokens_map.json

@@ -0,0 +1,23 @@
+{
+  "bos_token": {
+    "content": "<|begin_of_text|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|eot_id|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}